All data sets are tokenized, truecased and Byte Pair Encoding (BPE) [1]} is applied with 89500 merge operations (the number of operations used in the work of [1]}). The models have been built using OpenNMT-py[3]}. We keep the default settings of OpenNMT-py: 2-layer LSTM with 500 hidden units, vocabulary size of 50000 words for each language.
